{"id":"https://openalex.org/W4319303065","doi":"https://doi.org/10.1109/tgrs.2023.3242728","title":"Large-Scale Hyperspectral Image Restoration via a Superpixel Distributed Algorithm Based on Graph Signal Processing","display_name":"Large-Scale Hyperspectral Image Restoration via a Superpixel Distributed Algorithm Based on Graph Signal Processing","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319303065","doi":"https://doi.org/10.1109/tgrs.2023.3242728"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3242728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3242728","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020374230","display_name":"Wanyuan Cai","orcid":"https://orcid.org/0000-0002-1777-4489"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wanyuan Cai","raw_affiliation_strings":["School of Information and Communication, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036506457","display_name":"Junzheng Jiang","orcid":"https://orcid.org/0000-0002-3767-8216"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzheng Jiang","raw_affiliation_strings":["School of Information and Communication, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015598243","display_name":"Jiang Qian","orcid":"https://orcid.org/0000-0001-7910-3237"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Qian","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020374230"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":1.1374,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79945209,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6686011552810669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5391867756843567},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5234193801879883},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4562074840068817},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4259556829929352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39528918266296387},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.38764098286628723},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3708462119102478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3420161008834839},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1962205469608307},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18032267689704895}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6686011552810669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5391867756843567},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5234193801879883},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4562074840068817},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4259556829929352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39528918266296387},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.38764098286628723},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3708462119102478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3420161008834839},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1962205469608307},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18032267689704895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3242728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3242728","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G1278984000","display_name":null,"funder_award_id":"62171146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2169018910","display_name":null,"funder_award_id":"GuikeAA21077008","funder_id":"https://openalex.org/F4320336643","funder_display_name":"Guangxi Innovation-Driven Development Project"},{"id":"https://openalex.org/G3071923593","display_name":null,"funder_award_id":"62261014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336643","display_name":"Guangxi Innovation-Driven Development Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W284286657","https://openalex.org/W1540550726","https://openalex.org/W1669104078","https://openalex.org/W1944540851","https://openalex.org/W1990488619","https://openalex.org/W1991003630","https://openalex.org/W1991252559","https://openalex.org/W1994040806","https://openalex.org/W2039596145","https://openalex.org/W2048280297","https://openalex.org/W2048695508","https://openalex.org/W2053419820","https://openalex.org/W2056370875","https://openalex.org/W2066941820","https://openalex.org/W2101491865","https://openalex.org/W2103972604","https://openalex.org/W2118246710","https://openalex.org/W2119681632","https://openalex.org/W2126523478","https://openalex.org/W2160484748","https://openalex.org/W2161815745","https://openalex.org/W2171520281","https://openalex.org/W2237974960","https://openalex.org/W2289756263","https://openalex.org/W2295944595","https://openalex.org/W2508457857","https://openalex.org/W2553747326","https://openalex.org/W2591248827","https://openalex.org/W2734408317","https://openalex.org/W2743606449","https://openalex.org/W2756220878","https://openalex.org/W2773583860","https://openalex.org/W2788790154","https://openalex.org/W2790528326","https://openalex.org/W2793272303","https://openalex.org/W2806155925","https://openalex.org/W2914736033","https://openalex.org/W2949126699","https://openalex.org/W2964179170","https://openalex.org/W2982007765","https://openalex.org/W2984522085","https://openalex.org/W2986829670","https://openalex.org/W2991209609","https://openalex.org/W3004433344","https://openalex.org/W3017506038","https://openalex.org/W3021083191","https://openalex.org/W3031385348","https://openalex.org/W3036751413","https://openalex.org/W3044848353","https://openalex.org/W3090929676","https://openalex.org/W3098435832","https://openalex.org/W3106135392","https://openalex.org/W3118914778","https://openalex.org/W3133684664","https://openalex.org/W3133902755","https://openalex.org/W3134334503","https://openalex.org/W3134490757","https://openalex.org/W3140885850","https://openalex.org/W3163979703","https://openalex.org/W3179808591","https://openalex.org/W3199986655","https://openalex.org/W3201553497","https://openalex.org/W3202007400","https://openalex.org/W4200631706","https://openalex.org/W4206151466","https://openalex.org/W4230938240","https://openalex.org/W6805329722"],"related_works":["https://openalex.org/W3161321444","https://openalex.org/W2549765251","https://openalex.org/W2138214894","https://openalex.org/W3027394838","https://openalex.org/W134976887","https://openalex.org/W1582206143","https://openalex.org/W2734888972","https://openalex.org/W1840273037","https://openalex.org/W4376624981","https://openalex.org/W2464972745"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"is":[3,68,81,163,187,201],"often":[4],"disturbed":[5],"by":[6,46,70,107],"various":[7],"kinds":[8],"of":[9,19,65,104,137,140,168,172,214,231],"noise,":[10],"which":[11,143,173],"brings":[12],"great":[13],"challenges":[14],"to":[15,101,146],"subsequent":[16],"applications.":[17],"Many":[18],"the":[20,48,62,66,87,116,122,127,148,155,159,204,208,212,229,232],"existing":[21,238],"restoration":[22,161,205,234],"algorithms":[23],"do":[24],"not":[25],"scale":[26],"well":[27],"for":[28,41,203],"HSI":[29,42,67,108,160],"with":[30,43,237],"large":[31,44],"size.":[32],"This":[33],"article":[34],"proposes":[35],"a":[36,71,82,102,138,166,176,182,192,197],"novel":[37,198],"mixed-noise":[38],"removal":[39],"method":[40],"size,":[45],"leveraging":[47],"superpixel":[49],"segmentation-based":[50],"technology":[51],"and":[52,97,125,189,217,225],"distributed":[53,199],"algorithm":[54,96,200,235],"based":[55,153],"on":[56,154,175,222],"graph":[57,84,112,135,157,183,216],"signal":[58],"processing":[59],"(GSP).":[60],"First,":[61],"underlying":[63],"structure":[64],"modeled":[69],"two-layer":[72,156],"architecture":[73],"graph.":[74],"The":[75,110,130],"upper":[76],"layer,":[77,132],"called":[78,133],"skeleton":[79,111,215],"graph,":[80],"rough":[83],"constructed":[85,145],"using":[86,207],"modified":[88],"<inline-formula":[89],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[90],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[91],"<tex-math":[92],"notation=\"LaTeX\">$k$":[93],"</tex-math></inline-formula>":[94],"-nearest-neighborhood":[95],"its":[98],"nodes":[99,213],"correspond":[100],"series":[103,139,167],"superpixels":[105],"formed":[106],"segmentation.":[109],"can":[113],"efficiently":[114],"characterize":[115],"intercorrelations":[117],"between":[118,150,211],"superpixels,":[119],"while":[120],"preserving":[121],"boundary":[123],"information":[124,209],"reducing":[126],"computational":[128],"complexity.":[129],"lower":[131],"detailed":[134],"consisting":[136],"local":[141],"graphs":[142],"are":[144],"model":[147],"similarities":[149],"pixels.":[151],"Second,":[152],"architecture,":[158],"problem":[162],"formulated":[164],"as":[165],"optimization":[169,180],"problems":[170],"each":[171,179],"resides":[174],"subgraph.":[177],"In":[178],"problem,":[181,206],"Laplacian":[184],"regularization":[185],"(GLR)":[186],"defined":[188],"incorporated":[190],"into":[191],"low-rank":[193],"(LR)-based":[194],"model.":[195],"Third,":[196],"tailored":[202],"interaction":[210],"subgraphs.":[218],"Numerical":[219],"experiments":[220],"conducted":[221],"both":[223],"synthetic":[224],"real-world":[226],"datasets":[227],"demonstrate":[228],"effectiveness":[230],"proposed":[233],"compared":[236],"methods.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}